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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research
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energised — not deterred — by problems that sit between physics, learning and the messy real world. Your experience and profile: a PhD (completed or near completion) in Machine Learning, Computer Vision
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deliver a prototype of a 3D-printed or casted bioactive stent with proven tissue compatibility and mechanical stability, paving the way for improved cardiovascular implants. The Opus LAP project includes
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division "Catalytic Interfaces for Chemical Hydrogen Storage" (IHE-1), led by Prof. Dr. Hans-Georg Steinrück, we investigate mechanisms and processes in (electro)chemical energy storage systems
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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, brain organoids, genome editing, high-resolution imaging, single-cell sequencing, spatial transcriptomics, epigenomics, and proteomics, as well as a unique mouse model in which neural progenitors acquire
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studies, develop prototype tools and other devices, as well as provide research and technological services. The recipients of our solutions are, among others, representatives of the foundry, tooling
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molecular plant biology. Ideally, they will also have previous experience working with Physcomitrium patens. Experience with confocal microscopy and/or quantitative image analysis is also essential
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processes and best laboratory practices. Administrative and Operational Contributions Contribute to the effective operation of the research laboratory, including laboratory organisation, equipment maintenance
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(NIH U01): A multi-site implementation science study evaluating precision imaging tools for Kaposi sarcoma in East Africa. The fellow will contribute to data analysis, manuscript development, and study